 By exploring it, we realized that everything is more or less showing national cuisines. Groups are made around some specific nodes that are called Italian cuisine, Turkish cuisine, French cuisine, and so and so. Of course, we were expecting something like that, especially to have like pizza and spaghetti close to each other. But more than that, here it's more the French cuisine and Italian cuisine pages that appears to be really, really central and not necessarily the direct link between the different ingredients or different type of meals or typical dishes. So the next part of my exploration here, when I see that these very specific Italian cuisine or French cuisine nodes are the most important in the structuration of what I have in front of me, is trying to isolate these ego networks and to color them just to have an idea of do they overlap, do the nodes that are connected to French cuisine overlap to the nodes that are connected to Italian cuisine or not. And of course, to play also with once again to come back to between the centrality to see if this between the centrality or a high degree of between the centrality is something that is correlated with being one of these cuisine page and not the specific element of this national cuisine. Okay, Noah, that I explored a bit this graph, I will fine tune the visual aspects so that I have a nice picture to export and especially a graph that is in a nice rectangle with no clusters everywhere so that everything can be readable on the screen. I changed the color, of course, just to have something neutral to make the final adjustments and I changed the label position and especially the node position just to have the label readable because here it's not very important exactly where each node is when it's in the center of this very big spaghetti monster. I'm also exporting ego networks out of this very big network especially around a few national cuisine pages. So I'm exporting here completely subjectively the Turkish cuisine, the English cuisine and the Italian cuisine. So that I have the specific files for only the nodes that are in these three ego networks. Why do I do that? Because I recognize that the clusterization of the graph is very dependent from these national cuisine pages, but it's very hard to extract only the pages that are linked to one very specific node, especially because they also overlap, I mean, there are pages that are also linked to English and Italian cuisine together. So I will clean the CSV and make a new category here just to have a nice parameter that I can apply to this graph and here I will choose simply this new grouping technique here and just to assign colors to the nodes. Why do I do that and not rely on a community detection? It's because I think it's very interesting in a network that is so clusterized to add something that is a variable that is not really coming from the clusterization itself that comes from a qualitative knowledge we have about this network and especially here the fact that we know already that more or less the clusters are elements that are pages that are very, very close to each other, like all the wines here and all the Turkish dishes here and things like that. So now we want you to add something, these colors that come not only from these clusters but really from the fact that they are connected to Turkish cuisine precisely or Italian cuisine precisely. And here I will just play a bit with the colors to find something that is visually okay or visually readable. As you see here I choose different colors for these three ego networks I identified, the Turkish, the English and the Italian one, but I also put some colors on the pages that are all these national cuisine pages like the French one, the Swiss one and so and so these are red in this picture here and also I gave a color, a specific color to all the notes that are overlaps between the ego network like the pizza that is mentioned in the Turkish cuisine page and in the Italian cuisine page. For example, I guess that pizza is also mentioned on the English cuisine page if I'm correct so I put them in white here so that we see and when we can read these colors as a Venn diagram in a certain way, you know, you have the blue group that is overlapping with the yellow one where the white points are displayed here knowing also that most of these pages about national cuisines are always also connected to all the other pages of national cuisines because of probably the footer of the Wikipedia page so they are all connected together which means that the red part here is not that interesting to us because we know basically that these national cuisines pages are basically connected to everything or at least to all the other national pages which means that Italian, Turkish and English cuisines will be connected to these dots here so I would choose another color or I will turn them to gray because in fact we are not that interested in these national cuisines pages except those we chose specifically for this exercise.